[arnath]

This is really cool! I've always thought that one thing preventing major competitors to AWS/Azure/GCP is the lack of easy-to-use tooling for machine level monitoring like this. When I was at Microsoft, we built a tool like this that used Windows Firewall filters to track all the network traffic between our services and it was incredibly useful for debugging.

That said, as with anything from Meta, I approach this with a grain of salt and the fact that I can't tell what they stand to gain from this makes me suspicious.

[theptip]

> the fact that I can't tell what they stand to gain from this makes me suspicious.

Meta is one of the biggest contributors to FOSS in the world. (React, PyTorch, Llama, …). They stand to gain what every big company does, a community contributing to their infra.

You’ll note that nobody is open sourcing their ad recommender, that is the one you should be skeptical about if you ever see. You don’t share your secret sauce.

[ipsum2]

> You’ll note that nobody is open sourcing their ad recommender

Actually... (2019) https://ai.meta.com/blog/dlrm-an-advanced-open-source-deep-l...

Source code:

https://github.com/facebookresearch/dlrm

Paper:

https://arxiv.org/abs/1906.00091

Updated 2023 blog post, but solely for content recommendation, but ads recommendation is ~90% the same:

https://engineering.fb.com/2023/08/09/ml-applications/scalin...

It's a little out of date, but the internal one is built with the same concepts, just more advanced modeling techniques and data.

[schmorptron]

ByteDance shared the TikTok content recommender, which I'd argue is somewhat close to an ad recommender :)

[paxys]

Plus it helps them recruit engineers who are already familiar with their tech stack.

[mhlakhani]

As a sibling commenter said, it helps brand and recruiting - which meta cares about

[bigtimesink]

Maybe, but the gold chain, million dollar watch wearing CEO talking about masculine energy doesn't help the brand.